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Title: A privacy preservation masking method to support business collaboration.
Authors: OLIVEIRA, S. R. de M.
Date Issued: 2005
Citation: In: SIMPÓSIO BRASILEIRO EM SEGURANÇA DA INFORMAÇÃO E DE SISTEMAS COMPUTACIONAIS, 5., 2005, Florianópolis. Anais... Florianópolis: Sociedade Brasileira de Computação, 2005.
Pages: p. 68-81.
Description: This paper introduces a privacy preservation masking method to support business collaboration, called Dimensionality Reduction-Based Transformation (DRBT). This method relies on the intuition behind random projection to mask the underlying attribute values subject to cluster analysis. Using DRBT, data owners are able to find a solution that meets privacy requirements and guarantees valid clustering results. DRBT was validated taking into account five real datasets. The major features of this method are: a) it is independent of distance-based clustering algorithms; b) it has a sound mathematical foundation; and c) it does not require CPU-intensive operations.
Thesagro: Informática
NAL Thesaurus: Information
Keywords: Segurança da informação
Sistemas computacionais
Preservação da privacidade
Privacy preservation.
Language: en
Notes: Na publicação: Stanley R. M. Oliveira.
Type of Material: Anais e Proceedings de eventos
Access: openAccess
Appears in Collections:Artigo em anais de congresso (CNPTIA)

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